- YouTube Video: https://youtu.be/rm3YnClSmIQ
- Paper PDF: http://infoscience.epfl.ch/record/206951/files/htrack.pdf
To obtain the results shown in the video (or as seen in the live demo sessions at SGP'15) proper hardware is necessary:
- Ubuntu 14.04 (on windows/osx the OS interferes with GPU on Compute/Graphics context switches)
- Intel Core i7 @4GhZ
- CUDA Graphic card (NVIDIA GTX980 used in our demo)
- Senz3D depth camera (SENSOR_DEPTHSENSEGRABBER, use SoftKinetic or Intel/Creative)
Other notes:
- note the software must be compiled in 64bits!
- Wristband color calibration (make sure the wristband is detected robustly otherwise the tracking might not perform as effectively, you can check this by enabling "show wband" in the htrack_atb application)
@article{htrack_sgp15,
author = {Andrea Tagliasacchi and Matthias Schr{\"o}der and Anastasia Tkach and
Sofien Bouaziz and Mario Botsch and Mark Pauly},
title = {Robust Articulated-ICP for Real-Time Hand Tracking},
journal = {Symposium on Geometry Processing (Computer Graphics Forum)},
month = July,
year = 2015}
- July 8th 2015: we won the Best Paper Award at the Symposium on Geometry Processing (SGP) 2015!
- June 12th 2015: official code release (in sync with CVPR'15 HANDS workshop)
- Thanks to "Tu-Hoa Pham" for his pull request that improved the SoftKinetic (Senz3D) Sensor!